variables: 946947

This table contains all the variables of all the datasets we have at Our World In Data. Note that this includes only the information about the variables like name and default display settings, not the data itself.

Data license: CC-BY

This data as json

id name unit description createdAt updatedAt code coverage timespan datasetId sourceId shortUnit display columnOrder originalMetadata grapherConfigAdmin shortName catalogPath dimensions schemaVersion processingLevel processingLog titlePublic titleVariant attributionShort attribution descriptionShort descriptionFromProducer descriptionKey descriptionProcessing licenses license grapherConfigETL type sort dataChecksum metadataChecksum
946947 August °C   2024-07-03 09:35:54 2024-07-17 12:26:41     1940-2023 6607   °C 
{
    "unit": "\u00b0C",
    "shortUnit": "\u00b0C",
    "numDecimalPlaces": 2
}
 0     august grapher/climate/2023-12-20/surface_country_level_monthly_anomaly/surface_temperature#august   2 major           The deviation in a specific month's average surface temperature from the mean temperature of the same month during the period 1991-2020, measured in degrees Celsius.   
[]
 - Temperature measured in kelvin was converted to degrees Celsius (°C) by subtracting 273.15. - Initially, the temperature dataset is provided with specific coordinates in terms of longitude and latitude. To tailor this data to each country, we utilize geographical boundaries as defined by the World Bank. The method involves trimming the global temperature dataset to match the exact geographical shape of each country. To correct for potential distortions caused by the Earth's curvature on a flat map, we apply a latitude-based weighting. This step is essential for maintaining accuracy, especially in high-latitude regions where distortion is more pronounced. The result of this process is a latitude-weighted average temperature for each nation. - It's important to note, however, that due to the resolution constraints of the Copernicus dataset, this methodology might not be as effective for countries with very small landmasses. In these cases, the process may not yield reliable data. - The derived 2-meter temperature readings for each country are calculated based on administrative borders, encompassing all land surface types within these defined areas. As a result, temperatures over oceans and seas are not included in these averages, focusing the data primarily on terrestrial environments. - Global temperature averages and anomalies are calculated over all land and ocean surfaces. - The temperature anomaly is calculated by comparing the average surface temperature of a specific time period (e.g., a particular year or month) to the mean surface temperature of the same period from 1991 to 2020. - When calculating anomalies for each country, the average surface temperature of a given year or month is compared to the 1991-2020 mean temperature for that specific country. - The reason for using the 1991-2020 period as the reference mean is that it is the standard reference period used by our data source, the Copernicus Climate Change Service. This period is also adopted by the UK Met Office. This approach ensures consistency in identifying climate variations over time.       float 
[]
 ed86edfada6d0b61e718b0225b63dcc0 78666ce212da2aa585d63336cec40c54

Links from other tables